Alyssa Randez, MS

At Purdue University, I design and study dynamic learning with a focus on human curiosity, motivation, and decision-making. My early work explored cognitive effort and intrinsic motivation, supporting the idea that highly demanding tasks can be deeply rewarding.

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Currently, I investigate information sampling and curiosity-driven learning—how agents navigate uncertainty, resist default paths, and discover motivation in complexity.

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Across these projects, I’m building a case for a more generous model of learning: one that treats capability as discoverable, not fixed.